An automatic mold cleaning device includes an automatic cleaning system, a mold clamping system and a waste recovery system.

Systems and methods for determining a location of a robot are provided. A method includes receiving, by a processor, a signal from a deformable sensor including data with respect to a deformation region in a deformable membrane of the deformable sensor resulting from contact with a first object. The data associated with contact with the first object is compared, by the processor, to details associated with contact with the first object to information associated with a plurality of objects stored in a database. The first object is identified, by the processor, as a first identified object of the plurality of objects stored in the database. The first identified object is an object of the plurality of objects stored in the database that is most similar to the first object. The location of the robot is determined, by the processor, based on a location of the first identified object.

A cleaning robot is provided. The cleaning robot includes a body, a light detection and ranging (LiDAR) module having a LiDAR sensor rotatably supported by the body, a light-emitting display module mounted on the LiDAR module, wherein the light-emitting display module is configured to display an image based on an afterimage effect according to a rotation of the LiDAR module.

A cleaner includes a body, a left spin-mop module and a right spin-mop module configured to perform mopping, and a water supply module configured to supply water to the left spin-mop module and the right spin-mop module. The water supply module includes a water tank to store water therein, a pump to pressurize the water in the water tank to move the water to the left spin-mop module and the right spin-mop module, a first supply pipe connecting the water tank and the pump, a common pipe connected to the pump, the common pump configured to guide movement of the pressurized water from the pump, a first branch pipe configured to guide a first portion of the water in the common pipe to the left spin-mop module, and a second branch pipe configured to guide a second portion of the water in the common pipe to the right spin-mop module.

Measures for use in operating a robot having one or more sensors. A representation of an environment of the robot is generated by operating the one or more sensors to sense a set of parameters representative of the environment of the robot. A list of objects in the environment and associated identifiers for each object in the list is generated. Control data is received from the electronic user device. The control data includes an identifier for an object in the generated list that a user of the electronic user device wishes to locate within the environment. In response to receipt of the control data, the robot and the one or more sensors are operated to search the environment to determine a location of the identified object in the environment.

Disclosed is a robot cleaner which adjusts a suction area of air suctioned into a suction port through a shutter and a shutter driving device configured to operate the shutter, so that a flow rate of air is adjusted, thus more effectively suctioning dust in the air by using a fan motor having a fixed capacity.

Implementations of the disclosed subject matter may provide a method that includes emitting, using a light source of a mobile robot, ultraviolet (UV) light to disinfect at least a portion of an area, including the at least one of air, a surface, and an object, where the UV light may be emitted onto one or more exposure sensors disposed in the area. A processor of the mobile robot may plot a representation of the emission of the UV light onto a map of the area to generate an exposure plot, where the representation is of the UV light emitted. The mobile robot may receive images from and/or disinfection levels measured by the one or more exposure sensors. The method may include generating a validation report that includes the exposure plot, images of the exposure sensors, and/or the disinfection levels measured by the one or more exposure sensors.

A cleaning robot for underwater includes a main body including a magnetic speed detection mechanism and a magnetic collision buffer mechanism. The magnetic speed detection mechanism includes two speed detection wheel mechanisms mounted on the main body. The speed detection wheel mechanism includes a wheel bracket, an induction wheel rotationally disposed inside the wheel bracket, a magnet embedded on one side of the induction wheel, and a magnetic force sensor disposed inside the wheel bracket and located on one side of the magnet.

The present invention provides an artificial intelligence includes a memory configured to store a plurality of pollution logs; a learning processor configured to classify the plurality of pollution logs into at least one pollution log group based on a similarity between pollution information; a map generator configured to generate an indoor area map to which location of each of at least one pollution log group is mapped; and a processor which determines a cleaning method for each of the at least one pollution log group and performs cleaning for each of the at least one pollution log group according to the determined cleaning method.

An autonomous floor cleaner, such as a robotic vacuum cleaner, includes an autonomously moveable housing carrying a vacuum collection system for generating a working air flow for removing dirt from the surface to be cleaned and storing the dirt in a collection space. A bumper is provided on the housing and provides obstacle sensing redundancy. The bumper can be provided with a cliff sensor actuator member that activates an associated cliff sensor upon an impact or obstacle event.